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Algorithmics For Hard Problems Introduction To Combinatorial Optimization Randomization Approximation And Heuristics 2nd Hromkovi

  • SKU: BELL-55823236
Algorithmics For Hard Problems Introduction To Combinatorial Optimization Randomization Approximation And Heuristics 2nd Hromkovi
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Algorithmics For Hard Problems Introduction To Combinatorial Optimization Randomization Approximation And Heuristics 2nd Hromkovi instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 45.36 MB
Pages: 547
Author: Hromkovič, Juraj
ISBN: 9783540441342, 3540441344
Language: English
Year: 2004
Edition: 2nd

Product desciption

Algorithmics For Hard Problems Introduction To Combinatorial Optimization Randomization Approximation And Heuristics 2nd Hromkovi by Hromkovič, Juraj 9783540441342, 3540441344 instant download after payment.

Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech­ nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics.

But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to close this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynami­ cally in recent years and the research on this topic discovered several profound results, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be in­ cluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently com­ municated to students and practitioners.

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